Correlation Between Harbor ETF and ProShares Big

Can any of the company-specific risk be diversified away by investing in both Harbor ETF and ProShares Big at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Harbor ETF and ProShares Big into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Harbor ETF Trust and ProShares Big Data, you can compare the effects of market volatilities on Harbor ETF and ProShares Big and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Harbor ETF with a short position of ProShares Big. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harbor ETF and ProShares Big.

Diversification Opportunities for Harbor ETF and ProShares Big

0.78

Correlation Coefficient

Harbor ETF  ProShares Big

Poor diversification

The 3 months correlation between Harbor and ProShares is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Harbor ETF Trust and ProShares Big Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Big Data and Harbor ETF is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Harbor ETF Trust are associated (or correlated) with ProShares Big. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Big Data has no effect on the direction of Harbor ETF i.e., Harbor ETF and ProShares Big go up and down completely randomly.

Pair Corralation between Harbor ETF and ProShares Big

Given the investment horizon of 90 days Harbor ETF is expected to generate 9.12 times less return on investment than ProShares Big. But when comparing it to its historical volatility, Harbor ETF Trust is 3.04 times less risky than ProShares Big. It trades about 0.11 of its potential returns per unit of risk. ProShares Big Data is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest  3,486  in ProShares Big Data on September 14, 2024 and sell it today you would earn a total of  1,223  from holding ProShares Big Data or generate 35.08% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Harbor ETF Trust  vs.  ProShares Big Data

Harbor ETF Trust

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Harbor ETF Trust are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable basic indicators, Harbor ETF is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.

ProShares Big Data

Risk-Adjusted Performance

26 of 100

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in ProShares Big Data are ranked lower than 26 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak basic indicators, ProShares Big unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Harbor ETF and ProShares Big

The main advantage of trading using opposite Harbor ETF and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harbor ETF position performs unexpectedly, ProShares Big can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ProShares Big will offset losses from the drop in ProShares Big's long position.

The idea behind Harbor ETF Trust and ProShares Big Data pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.